1.Determine whether the statement is true or false.The hypothesis statement H00:muequals=90 is an example of aone-tail hypothesis test.

TrueFalse

2.The nullhypothesis, denoted by H00, represents the status quo and involves stating the belief that the population parameter is,less than or equals,equals=, orgreater than or equalsa specific value. True False

3.Complete the following statement. The_______ provides an estimate for the population variance whether or not the null hypothesis is true forone-way ANOVA. A. sum of squares error B. mean square within C. total sum of squares D. mean square between

4.

The federal government would like to test the hypothesis that the average age of men filing for Social Security is higher than the average age of women set using alphaequals=0.05 with the data below. If Population 1 is defined as men and Population 2 is defined aswomen, what is the standard error of the difference between two means for this hypothesistest?

	Men	Women
Sample mean	64.5 years	63.6 years
Sample size	35	39
Population standard deviation	3.0 years	3.5 years

A.

0.994

B.

1.265

C.

0.756

D.

1.843

5.Determine whether the statement is true or false.A relationship is linear if the scatter plot of the independent and dependent variables has astraight-line pattern.

TrueFalse

6. Determine whether the statement is true or false. A correlation coefficient of minus0.80 is an indication of a weak negative relationship between two variables.

7.

The federal government would like to test the hypothesis that the average age of men filing for Social Security is higher than the average age of women set using alphaequals=0.05 with the data below. If Population 1 is defined as men and Population 2 is defined aswomen, determine the90% confidence interval for the difference in population means.

	Men	Women
Sample mean	64.5 years	63.6 years
Sample size	35	39
Population standard deviation	3.0 years	3.5 years

A.

(0.52, 1.28)

B.

(minus0.34,2.14)

C.

(minus1.37,3.17)

D.

(0.75, 1.05)

True False

8.Determine whether the statement is true or false. The multiple correlation coefficient is the percent of variation in the dependent variable explained by all of the independent variables.